Description
You will develop, prototype, and deploy scalable Generative AI applications, translating business requirements into reliable production systems.
This role is on-site.
Responsibilities
- Build and deploy AI applications using state-of-the-art GenAI technologies and statistical methods.
- Translate business requests into functional AI solutions and pilot prototypes in production processes.
- Collaborate with business experts for requirement gathering, data source identification, and feature engineering.
- Present results clearly and discuss findings with multi-functional project teams.
Required Skills
- 5+ years of experience with Python and state-of-the-art AI/statistical methods.
- Strong proficiency with Azure Cloud, Azure Data & AI services, and deploying scalable AI applications.
- Hands-on experience with LLM frameworks and libraries (Langchain, Llamaindex) and version control (Git, GitHub).
- Expertise in CI/CD pipelines and modern software development best practices.
Preferred Skills
- Experience with Agentic AI frameworks (Langgraph, AutoGen, CrewAI).
- Familiarity with MLOps tools (MLflow, Kubeflow, TFX).